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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  3. AI in education - Wikipedia

    en.wikipedia.org/wiki/AI_in_education

    Ai is not an emerging technology, but an “arrival technology” [52] Ai appears to understand instructions and can generate human-like responses. [53] Behaving as a companion for many in a lonely and alienated world. [54] While also creating a “jagged technology frontier”, [55] where Ai is both very good and terribly bad at very similar ...

  4. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    The tools consisting of Flux.1 Fill for inpainting and outpainting, Flux.1 Depth for control based on extracted depth map of input images and prompts, Flux.1 Canny for control based on extracted canny edges of input images and prompts, and Flux.1 Redux for mixing existing input images and prompts. Each tools are available in both Dev and Pro ...

  5. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.

  6. Sakai (software) - Wikipedia

    en.wikipedia.org/wiki/Sakai_(software)

    Sakai is a free, community-driven, open source educational software platform designed to support teaching, research and collaboration. Systems of this type are also known as learning management systems (LMS), course management systems (CMS), or virtual learning environments (VLE).

  7. Artificial Intelligence: A Modern Approach - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...

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